Automated Data Analysis
Turn CSV/Excel/JSON into multi-expert analysis with styled HTML, PPT, and markdown reports.
About
Automated Data Analysis is a Claude Code skill that productizes the analysis flow: it profiles your data, runs multi-expert analysis (quant, valuation, growth, industry, finance perspectives), and generates deliverable reports in 11 styles from McKinsey to Bloomberg.
HTML reports default to offline inline SVG charts rather than CDN dependencies. The honest limitation: it is a 1-star, Chinese-market-focused project (README is bilingual, defaults are tuned for Chinese business reporting), so English-only users should expect some rough edges in wording.
What it can do
- Data profiling and type detection
- Multi-expert parallel analysis
- Styled HTML/PPT/markdown reports
- Offline inline SVG charts
- Semi-structured data structuring
Setup
- Run: npx skills add Joohnnwicky/Automated-Data-Analysis-Framework
- Pick your agents in the installer prompt.
- Invoke with /automated-data-analysis and describe the analysis you need.
Prerequisites
Python 3.10+. Excel/CSV/JSON input data.
Use cases
Works with
Trust score — 5/10
Scored 5/10 (metrics tier, metrics-v1). Evidence: 1 star, 172 commits; Chinese-market focus, bilingual README; SKILL.md at repo root; English rough edges likely. License: MIT.
★ 1 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 2.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 8.0/10
- Manual review · sanity read + red-flag check
- 5.0/10
- · 1 star, 172 commits
- · Chinese-market focus, bilingual README
- · SKILL.md at repo root
- · English rough edges likely
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.